Calculation of vehicle delay at signal-controlled intersections with adaptive traffic control algorithm

Abstract

By widely introducing information technology tools in the field of traffic control, it is possible to increase the capacity of hubs and reduce vehicle delays. Adaptive traffic light control is one of such tools. Its effectiveness can be assessed through traffic flow simulation. The aim of this study is to create a simulation model of a signal-controlled intersection that can be used to assess the effectiveness of adaptive control in various traffic situations, including the presence or absence of pedestrian traffic through an intersection. The model is based on a numerical experiment conducted using the Monte Carlo method. As a result of the study, vehicle delays, queue length and duration of traffic light cycles are calculated subject to different intensities of incoming traffic flows, and the presence or absence of pedestrian traffic.

Effectiveness of adaptive control of traffic light intersection on isolated multi-lane intersections

“…It is necessary to further justify the use of the desired type of distribution, for the correct modeling of a transport stream that approaches uninsulated intersections, which will later lead to an adjustment of the model of a transport intersection with adaptive regulation. This will allow obtaining more accurate results of the magnitude of vehicle delays and the queue length [2].…”

“…In this study, on the basis of the model of the intersection work using the Monte Carlo method [2], a numerical experiment is conducted to investigate the efficiency of the signalcontrolled intersection with two and four lanes of transport to the stop line. As a result, the predicted average parameters were obtained: the cycle duration, the average delay of one car and the total percentage of inclusion of the inhibit phase for the second direction with a duration of more than 120 s. 2 minutes are taken as a limit with respect to the comfortable waiting time for the enable signal.…”

“…This is the distribution of transport navigation systems on city streets, the introduction of automated traffic control systems, the synchronization of their data with the data of GPS navigators [1]. The organization of traffic mainly relies on the use of adaptive control of traffic lights, adapting to the changing parameters of traffic flows [2].…”

“…Adaptive traffic control reduces vehicle delays at regulated intersections by 10-60% [2,4,5]. In many systems of adaptive regulation, the data collected by the detectors fixing the passage and the presence of vehicles are processed [7,8,9].…”

Blending Efficiency and Resilience in the Performance Assessment of Urban Intersections: A Novel Heuristic Informed by Literature Review

“…The existing literature on this topic features studies assessing current resilience at country, regional, or city levels against disasters such as floods, storms, hurricanes, and earthquakes [7,14,15]. Various methodologies, including indicators, indices, and conceptual frameworks, have been developed and employed in case studies [9,[16][17][18]. For instance, the "R4" resilience triangle framework addressed recurrent congestion as an internal disruption on urban roads, using spatial-temporal traffic patterns compared with other freeways and signal-controlled arterial roads [9].…”